Bibliographic record
Abstract
The endothelium is the principal anti-thrombotic mechanism, providing a non wettable surface and generating potent vasodilators (nitric oxide and prostacyclin) and clotting inhibitors [thrombomodulin and tissue factor pathway inhibitor (TFPI)]. When the integrity of the endothelium is breached, vasoconstriction occurs through neural and chemical (endothelin, thromboxane) mechanisms, and platelet adhesion is facilitated (von Willebrand factor). Activation of platelets accompanied by microparticle formation provides a thrombogenic surface for subsequent coagulation reactions. The initial generation of small amounts of thrombin greatly amplifies subsequent clotting factor activation and results in substantial thrombin formation. Thrombin activates an inhibitor of fibrinolysis [thrombin activatable fibrinolysis inhibitor (TAFI)] which prevents the binding of plasminogen to fibrin. Mechanisms to limit clot formation include inhibition of the tissue factor-factor VIIa complex by TFPI, inhibition of activated factors V and VIII by activated protein C, and binding of thrombin by thrombomodulin, heparin cofactor II, and anti-thrombin. Clot dissolution is promoted by plasminogen activators (tissue plasminogen activator and urokinase) and by plasminogen.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.002 | 0.000 |
| Meta-epidemiology (broad) | 0.002 | 0.001 |
| Bibliometrics | 0.003 | 0.003 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.002 | 0.002 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.002 | 0.002 |
| Insufficient payload (model declined to judge) | 0.011 | 0.013 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".